Instructions to use MyneFactory/MF-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MyneFactory/MF-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MyneFactory/MF-Base", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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<div style="color: #666; padding-left:8px;"><strong>30</strong> minimum and <strong>+70</strong> can give nice results</div>
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<div><i style="color: #666666e8; padding-left:8px;">Clip 2 and 4 are valid for experimentation and we recommend trying it for more variation.</i></div>
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<div style="color: #666; padding-left:8px;"><strong>30</strong> minimum and <strong>+70</strong> can give nice results</div>
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<div style="display: inline-block; width: 120px; font-weight: 500; color: #333;">Skip Clip</div>
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<div style="color: #666; padding-left:8px;"><strong>Clip 1</strong></div>
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<div><i style="color: #666666e8; padding-left:8px;">Clip 2 and 4 are valid for experimentation and we recommend trying it for more variation.</i></div>
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